Data Analytics for Renewable Energy Integration: Second ECML - download pdf or read online

By Wei Lee Woon, Zeyar Aung, Stuart Madnick

ISBN-10: 331913289X

ISBN-13: 9783319132891

ISBN-10: 3319132903

ISBN-13: 9783319132907

This ebook constitutes revised chosen papers from the second one ECML PKDD Workshop on info Analytics for Renewable power Integration, DARE 2014, held in Nancy, France, in September 2014. The eleven papers provided during this quantity have been conscientiously reviewed and chosen for inclusion during this book.

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Extra info for Data Analytics for Renewable Energy Integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers

Example text

To solve (1), it is rewritten as a constrained minimization problem: min W,b,ξ 1 W 2 2 (ξt + ξt∗ ), +C (2) t subject to the restrictions W · Xt + b − yt ≥ −ξt − , W · Xt + b − yt ≤ ξt∗ + and ξt , ξt∗ ≥ 0. Its dual problem is then obtained by Lagrangian theory, that yields min Θ(α, β) = 1 2 (αt − βt )(αs − βs )Xt · Xs + t,s (αt + βt ) − t yt (αt − βt ) (3) t which has much simpler box constraints 0 ≤ αt , βt ≤ C. The Karush–Kuhn– Tucker (KKT) conditions for problems (2) and (3) can be applied to compute the optimal W ∗ , b∗ of the primal problem from the optimal dual solutions αt∗ , βt∗ , yielding a final model f (X) = f (X, W ∗ , b∗ ) = W ∗ · X + b∗ = (αt∗ − βt∗ )Xt · X + b∗ .

As we can see in the second and the third column of Fig. 2, there are different start time profile combinations for the flex-offers that participate in the aggregation and result in different aggregated flex-offers. Note that the absolute balance of the aggregated flex-offer also depends on the start time profile combinations. For instance, in the second column where we shift the first flex-offer for one time unit, we see that the absolute balance of the aggregated flex-offer has reduced. On the other hand, continuing shifting the first flex-offer will increase again the 22 E.

As a result, start alignment achieves a low absolute balance and the two greedy techniques do not take advantage of the exploration of the solution space since all the differences in absolute balance between each possible aggregation are very low. They are very low because even if there might be an earliest start time combination between a positive and a negative flex-offer that reduces the total absolute balance of the mixed flex-offer, the percentage will be too low because the absolute balance is mostly reflected by the long profiles of the negative flex-offer.

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Data Analytics for Renewable Energy Integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers by Wei Lee Woon, Zeyar Aung, Stuart Madnick


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